docstr: Loads the Estimator state (including model and optimizer) from the provided model_path.
  
  :param model_path: (str) Path to the existing model.
docstr_tok: ["Loads","the","Estimator","state","(","including","model","and","optimizer",")","from","the","provided","model_path",".",":","param","model_path",":","(","str",")","Path","to","the","existing","model","."]
code: def load(self, model_path: str):
      """
      Loads the Estimator state (including model and optimizer) from the provided model_path.
  
      :param model_path: (str) Path to the existing model.
      """
      state_dict = torch.load(model_path)
      self.load_state_dict(state_dict)
  
imports: from bigdl.orca.learn.ray_estimator import BaseEstimator
  from bigdl.orca.ray import OrcaRayContext
  from bigdl.orca.data.file import enable_multi_fs_save, enable_multi_fs_load
  import io
  import torch
  import ray
  from ray.exceptions import RayActorError
  from abc import abstractmethod, ABCMeta
  from bigdl.orca.learn.pytorch.utils import find_free_port, check_for_failure
  from bigdl.orca.learn.utils import get_driver_node_ip
  from bigdl.dllib.utils.log4Error import invalidInputError, logging
  from typing import Dict
label_desc: Use image node_id 11 for calling the BaseRayEstimator obj's underlying member method code with example usage: obj.load(model_path) without return types